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Databricks & Spark Masterclass: Real-Time Data Engineering

Learn Azure Databricks, PySpark & Cloud Storage. Build real-time data engineering projects & ace interviews. Get job-ready skills!

5.0(2)
63students
52h 2m
Certificate
Mallaiah Somula
Mallaiah Somulaenterprise data architect

Course Content

Databricks & Spark Masterclass: Real-Time Data Engineering is an all-levels Udemy course taught by Mallaiah Somula. It runs 52h 2m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 2 reviews, with 63 students enrolled. It is a paid course, first published August 2025.

Master Azure Databricks and Apache Spark with this comprehensive, project-based masterclass for data engineers. Whether you're new to the field or aiming to advance your skills, this course provides a practical journey through modern data engineering workflows. Learn from a seasoned data architect and trainer, gaining confidence in building scalable data pipelines and optimizing Spark performance.

Here's what you'll learn:

  • Azure Databricks Setup & Navigation: Quickly configure and effectively navigate your Azure Databricks environment.
  • Cloud Storage Integration: Securely mount and manage cloud storage including Blob Storage, ADLS Gen2, and AWS S3 for seamless data access.
  • PySpark Mastery: Build and optimize Spark jobs using PySpark, DataFrames, and RDDs for efficient data processing.
  • Data Pipeline Development: Design and implement robust data pipelines for real-world applications.
  • Database Connectivity: Connect Azure Databricks to popular databases like Azure SQL, Azure Synapse Analytics, and Snowflake.
  • File Format Handling: Work with a variety of data file formats, including CSV, Parquet, Avro, ORC, Excel, and JSON.
  • Performance Tuning: Apply essential performance tuning techniques such as partitioning, caching, and efficient join strategies to optimize Spark jobs.
  • Python for Data Engineering: Write clean, modular Python code specifically tailored for data engineering workflows.
  • Real-Time Data Solutions: Develop solutions to solve real-time data problems.
  • Interview Preparation: Gain the skills and confidence to excel in technical interviews for data engineering roles.

This course focuses on practical application, using real-time scenarios and enterprise-grade projects – no unnecessary theory! It's perfect for those seeking authentic expertise and future-proof skills beyond basic data engineering certification. If you want to move beyond generic training and build a strong foundation in data engineering, this masterclass is designed for you.

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